Ontology learning from relational database: a review

Abstract A relational database (RDB) is a digital that uses components (such as constraints, tables, keys, etc.) to manage data in structured manner. Because of these components, RDBs are considered ’poor’ from semantic point view, precisely because the structure-oriented nature used. One way eliminate this limitation transform RDB into an ontology. The purpose article review different approaches existing literature extract and convert it ontology instances. Two used integrate mapping between ontologies. first allows ontologies be extracted RDB, second consists Our proposed focuses on methods for creating specific RDB. examines field, classifying will analyzed according their inputs outputs. Such classification may useful understanding usability methods. aim critically studies help outline research topic’s progress identify methods’ gaps functionalities.